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Ai Manager Remote Jobs in Spring, TX (NOW HIRING)

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Ability to design and manage complex assemblies and mechanical systems. * Experience with CAD ...

New

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Ability to design and manage complex assemblies and mechanical systems. * Experience with CAD ...

New

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... Deploy, scale, and operate services on AWS using managed compute, storage, database, queueing, and ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... Deploy, scale, and operate services on AWS using managed compute, storage, database, queueing, and ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Management, and Insurance Planning. Advantages of contracting with us: * You'll be able to choose ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Management, and Insurance Planning. Advantages of contracting with us: * You'll be able to choose ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Management, and Insurance Planning. Advantages of contracting with us: * You'll be able to choose ...

Showing results 41-60

Ai Manager Remote information

See Spring, TX salary details

$25.8K

$93.1K

$105K

How much do ai manager remote jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai manager remote in Spring, TX is $93,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $103,700.00 per year, depending on experience, location, and employer.

What does an AI manager do in a remote role?

An AI Manager working remotely oversees the development, deployment, and optimization of artificial intelligence projects within an organization. Their responsibilities include managing data science and engineering teams, setting project goals, ensuring effective collaboration, and aligning AI initiatives with business objectives. Remote AI Managers utilize virtual tools to communicate, track progress, and solve challenges related to machine learning, data analytics, and automation. They also stay updated with the latest AI technologies and ensure that ethical standards and best practices are followed throughout the project lifecycle.

What is the difference between Ai Manager Remote vs Data Scientist Remote?

AspectAi Manager RemoteData Scientist Remote
Required CredentialsTypically requires a master's or PhD in AI, computer science, or related fields; leadership experienceUsually requires a master's or PhD in data science, statistics, or related fields; strong programming skills
Work EnvironmentLeads AI projects, manages teams, collaborates with cross-functional departmentsAnalyzes data, builds models, interprets results, often independently or in small teams
Employer & Industry UsageUsed in tech companies, AI startups, and large enterprises focusing on AI solutionsCommon in tech, finance, healthcare, and research organizations

While both roles require advanced technical skills and often similar educational backgrounds, the Ai Manager Remote focuses on leading AI initiatives and managing teams, whereas the Data Scientist Remote concentrates on data analysis and model development. Their work environments and industry applications overlap but serve different strategic functions within organizations.

How does an AI manager working remotely typically collaborate with cross-functional teams?

As a remote AI Manager, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is often facilitated through digital communication platforms like Slack, Zoom, and project management tools. Regular virtual meetings and clear documentation become crucial for aligning on project goals, timelines, and deliverables. AI Managers are expected to foster a culture of open communication, coordinate tasks across time zones, and ensure that everyone stays informed and engaged. Successful remote AI Managers proactively address potential miscommunications and leverage collaborative tools to keep projects on track.

What are the key skills and qualifications needed to thrive as an AI manager remote?

To thrive as an AI Manager (Remote), you need expertise in artificial intelligence, project management, and a relevant degree such as computer science or data science. Familiarity with AI development tools (like TensorFlow or PyTorch), cloud platforms, and certifications in AI or machine learning are commonly required. Excellent leadership, communication, and problem-solving skills are crucial for aligning remote teams and stakeholders. These abilities ensure successful project delivery, innovation, and effective collaboration across distributed environments.

What are popular job titles related to Ai Manager Remote jobs in Spring, TX?

For Ai Manager Remote jobs in Spring, TX, the most frequently searched job titles are:

What cities near Spring, TX are hiring for Ai Manager Remote jobs?

Cities near Spring, TX with the most Ai Manager Remote job openings:

Infographic showing various Ai Manager Remote job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $93,061 per year, or $44.7 per hour.

AI Cybersecurity Engineer Principal

Huntington

Houston, TX • On-site, Remote

Full-time

Re-posted yesterday


Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.